Abstract
The 3D virtual world of Second Life imitates a form of real life by providing a space for rich interactions and social events. Second Life encourages people to establish or strengthen interpersonal relations, to share ideas, to gain new experiences, and to feel genuine emotions accompanying all adventures of virtual reality. Undoubtedly, emotions play a powerful role in communication. However, to trigger visual display of user's affective state in a virtual world, user has to manually assign appropriate facial expression or gesture to own avatar. Affect sensing from text, which enables automatic expression of emotions in the virtual environment, is a method to avoid manual control by the user and to enrich remote communications effortlessly. In this paper, we describe a lexical rule-based approach to recognition of emotions from text and an application of the developed Affect Analysis Model in Second Life. Based on the result of the Affect Analysis Model, the developed EmoHeart (object in Second Life) triggers animations of avatar facial expressions and visualizes emotion by heart-shaped textures.
| Original language | English |
|---|---|
| Article number | 209801 |
| Journal | Advances in Human-Computer Interaction |
| Volume | 2010 |
| DOIs | |
| Publication status | Published - 2010 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Human-Computer Interaction
Cite this
EmoHeart : Conveying emotions in second life based on affect sensing from text. / Neviarouskaya, Alena; Prendinger, Helmut; Ishizuka, Mitsuru.
In: Advances in Human-Computer Interaction, Vol. 2010, 209801, 2010.Research output: Contribution to journal › Article
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TY - JOUR
T1 - EmoHeart
T2 - Conveying emotions in second life based on affect sensing from text
AU - Neviarouskaya, Alena
AU - Prendinger, Helmut
AU - Ishizuka, Mitsuru
PY - 2010
Y1 - 2010
N2 - The 3D virtual world of Second Life imitates a form of real life by providing a space for rich interactions and social events. Second Life encourages people to establish or strengthen interpersonal relations, to share ideas, to gain new experiences, and to feel genuine emotions accompanying all adventures of virtual reality. Undoubtedly, emotions play a powerful role in communication. However, to trigger visual display of user's affective state in a virtual world, user has to manually assign appropriate facial expression or gesture to own avatar. Affect sensing from text, which enables automatic expression of emotions in the virtual environment, is a method to avoid manual control by the user and to enrich remote communications effortlessly. In this paper, we describe a lexical rule-based approach to recognition of emotions from text and an application of the developed Affect Analysis Model in Second Life. Based on the result of the Affect Analysis Model, the developed EmoHeart (object in Second Life) triggers animations of avatar facial expressions and visualizes emotion by heart-shaped textures.
AB - The 3D virtual world of Second Life imitates a form of real life by providing a space for rich interactions and social events. Second Life encourages people to establish or strengthen interpersonal relations, to share ideas, to gain new experiences, and to feel genuine emotions accompanying all adventures of virtual reality. Undoubtedly, emotions play a powerful role in communication. However, to trigger visual display of user's affective state in a virtual world, user has to manually assign appropriate facial expression or gesture to own avatar. Affect sensing from text, which enables automatic expression of emotions in the virtual environment, is a method to avoid manual control by the user and to enrich remote communications effortlessly. In this paper, we describe a lexical rule-based approach to recognition of emotions from text and an application of the developed Affect Analysis Model in Second Life. Based on the result of the Affect Analysis Model, the developed EmoHeart (object in Second Life) triggers animations of avatar facial expressions and visualizes emotion by heart-shaped textures.
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UR - http://www.scopus.com/inward/citedby.url?scp=78349258931&partnerID=8YFLogxK
U2 - 10.1155/2010/209801
DO - 10.1155/2010/209801
M3 - Article
AN - SCOPUS:78349258931
VL - 2010
JO - Advances in Human-Computer Interaction
JF - Advances in Human-Computer Interaction
SN - 1687-5893
M1 - 209801
ER -